[PDF][PDF] Sign Language Translation Using Wearable Motion Capture System and Machine Learning Methods

Y Gu - 2022 - eprints.lib.hokudai.ac.jp
Sign language is the main communication method among hearing-impaired people. As a
kind of natural language, sign language has not become a mainstream research topic in …

ISLR: Indian Sign Language Recognition

KB Prathap, GD Swaroop, BP Kumar… - … on Paradigm Shifts …, 2023 - ieeexplore.ieee.org
Normal people can readily connect and communicate with one another, however, those with
hearing and speech impairments find it difficult to converse with normal-hearing people …

Indian Sign Language interpretation using convolutional neural networks

R Sreemathy, M Turuk, J Jagdale… - 2023 10th …, 2023 - ieeexplore.ieee.org
Sign language is the most common means of communication among the speech-and
hearing-impaired. Just like all other languages, tools are being developed for interlanguage …

[引用][C] DEEP LEARNING-BASED SIGN LANGUAGE TRANSLATION SYSTEM

JB IDOKO - 2020 - PhD thesis, NEAR EAST …

Real-Time Sign Language Recognition and Translation Using Deep Learning Techniques

T Fathima, A Alam, A Gangwar, DK Khetan… - … Research Journal on …, 2024 - irjaeh.com
Sign Language Recognition (SLR) recognizes hand gestures and produces the
corresponding text or speech. Despite advances in deep learning, the SLR still faces …

American sign language fingerspelling recognition using wide residual networks

K Kania, U Markowska-Kaczmar - … ICAISC 2018, Zakopane, Poland, June 3 …, 2018 - Springer
Despite existing solutions for accurate translation between written and spoken language,
sign language is still not well-studied area. A reliable, robust and working in real-time …

Sign2Sign: A Novel Approach Towards Real-Time ASL to ISL Translation

S Rajesh, A Krishnan, S Natarajan - Proceedings of Emerging Trends and …, 2022 - Springer
Sign language is the main form of communication for people with speech and hearing
imparity. There are over 300 types of sign languages across the world, with American Sign …

Residual spatial graph convolution and temporal sequence attention network for sign language translation

W Xu, J Ying, H Yang, J Liu, X Hu - Multimedia Tools and Applications, 2023 - Springer
Vision-based sign language translation technology (SLT) has brought the communication
distance between deaf and ordinary people closer to a certain extent. The obstacle of SLT is …

CNN Based Speech and Text Translation Using Sign Language

M Gupta, G Singh, A Yadav - 2021 3rd International …, 2021 - ieeexplore.ieee.org
There are around 5, 00,000 deaf and hard of hearing persons in the globe. Around 60% of
peoples are born as a deaf and deafeningly. These kinds of peoples are not able to …

Gesture-to-Text Translation Using SURF for Indian Sign Language

KM Tripathi, P Kamat, S Patil, R Jayaswal… - Applied System …, 2023 - mdpi.com
This research paper focuses on developing an effective gesture-to-text translation system
using state-of-the-art computer vision techniques. The existing research on sign language …